Neurodynamical model for visual action recognition
نویسندگان
چکیده
منابع مشابه
A Neurodynamical cortical model of visual attention and invariant object recognition
We describe a model of invariant visual object recognition in the brain that incorporates feedback biasing effects of top-down attentional mechanisms on a hierarchically organized set of visual cortical areas with convergent forward connectivity, reciprocal feedback connections, and local intra-area competition. The model displays space-based and object-based covert visual search by using atten...
متن کاملa computational visual neuroscience model for object recognition
in this study with the inspirations from both neuroscience and computer science, a combinatorial framework for object recognition was proposed having benefited from the advantages of both biologically-inspired hmax_s architecture model for feature extraction and extreme learning machine (elm) as a classifier. hmax model is a feed-forward hierarchical structure resembling the ventral pathway in ...
متن کاملA biased competition based neurodynamical model of visual neglect.
On the computational basis of a neurodynamical cortical model, we investigate a specific top-down visual cognitive impairment in brain-damaged patients known as visual spatial neglect. The computational cortical model accounts the neurodynamics underlying selective visual attention, is based on the "biased competition hypothesis" and structured in several network modules which can be related wi...
متن کاملA Neurodynamical Model of How Prior Knowledge Influences Visual Perception
Recent behavioral studies showed that prior knowledge can directly influence visual perception. In the current work, we offer an explanation of the observed findings based on the adaptive resonance theory (ART). The ART neural network was designed to solve the problem of catastrophic forgetting during learning in non-stationary environment. In the ART, stability of learning is achieved by match...
متن کاملA Neurodynamical Approach to Visual Attention
The psychophysical evidence for "selective attention" originates mainly from visual search experiments. In this work, we formulate a hierarchical system of interconnected modules consisting in populations of neurons for modeling the underlying mechanisms involved in selective visual attention. We demonstrate that our neural system for visual search works across the visual field in parallel but ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Neuroscience
سال: 2014
ISSN: 1471-2202
DOI: 10.1186/1471-2202-15-s1-p164